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- Tasks: Transform raw data into actionable insights that drive business decisions.
- Company: Leading data analytics firm in Glasgow with a focus on innovation.
- Benefits: Competitive salary, health insurance, and flexible work arrangements.
- Why this job: Make a real impact by analysing complex datasets and collaborating with diverse teams.
- Qualifications: Relevant degree, SQL proficiency, and experience with visualisation tools.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 30000 - 42000 £ per year.
A leading data analytics firm in Glasgow is seeking a skilled Data Analyst to transform raw data into actionable insights that shape business decisions. The role involves analyzing complex datasets, collaborating with cross-functional teams, and ensuring data integrity.
Candidates should have:
- A relevant degree
- Proficiency in SQL
- Experience with visualization tools
This opportunity provides a competitive salary along with benefits like health insurance and flexible work arrangements.
Data Insights Analyst - Flexible, High-Impact Data Work in Glasgow employer: mrkit
Contact Detail:
mrkit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Analyst - Flexible, High-Impact Data Work in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use visualisation tools to present your findings clearly. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and data integrity concepts. Practice common interview questions related to data analysis and think about how you can demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace Data Insights Analyst - Flexible, High-Impact Data Work in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the Data Insights Analyst role. We want to see how your background in data analysis and SQL shines through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this position. Share specific examples of how you've transformed raw data into actionable insights in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL and any experience with visualisation tools. We’re keen to see how you can leverage these skills to ensure data integrity and drive business decisions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates about the role!
How to prepare for a job interview at mrkit
✨Know Your Data Tools
Make sure you brush up on your SQL skills and any visualisation tools mentioned in the job description. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
✨Understand the Business Context
Research the company and its industry to understand how data insights can impact their business decisions. This will help you tailor your answers and demonstrate that you can think critically about how your work contributes to the bigger picture.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when analysing complex datasets and be prepared to solve a problem on the spot. This will showcase your analytical skills and ability to work under pressure.
✨Showcase Collaboration Skills
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in the past. Highlight your communication skills and how you ensure data integrity while working with different stakeholders.
